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Supervised Anomaly Detection

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In the training set, the amount of abnormal samples is limited and significant fewer than normal samples, producing data distributions that lead to a naturally imbalanced learning problem.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lflfdxfn/DPLAN-Implementation

Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data

https://github.com/llien30/GANomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

https://github.com/matt-baugh/nnood

Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

https://github.com/mindspore-ai/contrib/tree/master/application/pro

Deep Weakly-supervised Anomaly Detection

https://github.com/modadundun/ProDisc-VAD

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications

https://github.com/msminhas93/anomaly-detection-using-autoencoders

Semi-supervised Anomaly Detection using AutoEncoders

https://github.com/pg2455/AudioAge

Deep Semi-Supervised Anomaly Detection

https://github.com/rickyHong/GANomaly-repl

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

https://github.com/samet-akcay/ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

https://github.com/santiagxf/ContrastiveLearning

An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos

https://github.com/teo-sl/DPLAN_pytorch

Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data

https://github.com/thetak11/pca_shapley

A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores

https://github.com/tuananh0305/GCN_ANOMALY_DETECTION

Semi-supervised Anomaly Detection on Attributed Graphs

https://github.com/ucbtns/medgan

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

https://github.com/urbanmobility/SGM_mindspore

Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning

https://github.com/xuhongzuo/DeepOD

Deep Semi-Supervised Anomaly Detection

https://github.com/yj-zhou/Feature_Encoding_with_AutoEncoders_for_Weakly-supervised_Anomaly_Detection

Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection

https://github.com/yunseokddi/DeepSAD_pytorch

Deep Semi-Supervised Anomaly Detection

https://github.com/yzhao062/yzhao062

Weakly Supervised Anomaly Detection: A Survey

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